Progressive Remote Axonal Degeneration Following Spinal Cord Injury: A Histological and MRI Study by Gergely David, Alice Motovylyak, Felix Schlegel, Zsofia Kovacs, Christian Kündig, Angela R. Filous, Jan M. Schwab, Matthew D. Budde, Jan Klohs, Patrick Freund

“…In acute human spinal cord injury (SCI), magnetic resonance imaging (MRI) reveals progressive neuroanatomical changes at the lesion site and in remote regions. …”
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Understanding the progress of COVID-19 transmission in a rural district: a social network approach by Juliana Mansor, Nazarudin Safian, Fatimah Abdul Razak, Halim Ismail, Muhammad Haikal Ghazali, Noriah Ismail

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TRAF7 knockdown induces cellular senescence and synergizes with lomustine to inhibit glioma progression and recurrence by Yu Chen, Tongyu Zhou, Rongrong Zhou, Wen Sun, Yan Li, Qiyi Zhou, Dongcheng Xu, Yuxin Zhao, Peihao Hu, Jingrui Liang, Yumeng Zhang, Bin Zhong, Juncheng Yao, Di Jing

“…Abstract Background The progression and recurrence are the fatal prognostic factors in glioma patients. …”
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Distinct cervical microbiome and metabolite profiles before and after menopause: implications for cervical cancer progression by Rie Kawasaki, Rie Kawasaki, Iwao Kukimoto, Eiji Nishio, Sayaka Otani, Haruki Nishizawa, Yasuhiro Maeda, Aya Iwata, Aya Iwata, Takuma Fujii, Takuma Fujii, Takuma Fujii

“…The cervicovaginal microbiome undergoes dynamic changes during menopause, which may be involved in the progression of cervical neoplasia. We aimed to elucidate the association between cervical microenvironmental changes and the progression of cervical neoplasia before and after menopause by integrating analyses of the cervical microbiome, related metabolites, cytokines, and microRNAs.MethodsA total of 248 HPV-positive women with cervical neoplasia, including 17 with cervical intraepithelial neoplasia (CIN1), 80 with CIN2, 82 with CIN3, and 69 with squamous cell carcinoma (SCC), were enrolled. …”
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A novel machine learning based framework for developing composite digital biomarkers of disease progression by Song Zhai, Andy Liaw, Judong Shen, Yuting Xu, Vladimir Svetnik, James J. FitzGerald, James J. FitzGerald, Chrystalina A. Antoniades, Dan Holder, Marissa F. Dockendorf, Jie Ren, Richard Baumgartner

“…BackgroundCurrent methods of measuring disease progression of neurodegenerative disorders, including Parkinson's disease (PD), largely rely on composite clinical rating scales, which are prone to subjective biases and lack the sensitivity to detect progression signals in a timely manner. …”
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Experimental Research on Progressive Damage Mechanism for Water Immersed Coal Under Cyclic Loading and Unloading by WANG Fangtian, TANG Tiankuo, ZHANG Cun, DOU Fengjin, WEI Xueqian, SUN Nuan, CHENG Jiazhang

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MODERN DIAGNOSTIC TOOLS FOR DETECTING HEPATIC FIBROSIS IN CHILDREN by A.N. Surkov

“…The present review highlights the new diagnostic tools for detecting hepatic fibrosis against the backdrop of different liver pathologies in children. …”
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Photoacoustic imaging detects cerebrovascular pathological changes in sepsis by Zhigang Wang, Changpeng Ai, Ting Sun, Zhiyang Wang, Wuyu Zhang, Feifan Zhou, Shengnan Wu

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A comparative study of wavelet families for schizophrenia detection by E. Sathiya, T. D. Rao, T. Sunil Kumar

“…Schizophrenia (SZ) is a chronic mental disorder, affecting approximately 1% of the global population, it is believed to result from various environmental factors, with psychological factors potentially influencing its onset and progression. Discrete wavelet transform (DWT)-based approaches are effective in SZ detection. …”
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Optical-Theorem-Based Holography for Target Detection and Tracking by Mohammadrasoul Taghavi, Edwin A. Marengo

“…In addition, the proposed methodology also enables the development of customized sensors that leverage a controllable complex multiple-scattering medium and the derived holographic sensing technology for real-time particle detection and tracking. We demonstrate, with the help of realistic computer simulations, holographic techniques capable of detecting and tracking small particles under such conditions and analyze the role of multiple scattering in enhancing detection performance. …”
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Role of EEG as Biomarker in the Early Detection and Classification of Dementia by Noor Kamal Al-Qazzaz, Sawal Hamid Bin MD. Ali, Siti Anom Ahmad, Kalaivani Chellappan, Md. Shabiul Islam, Javier Escudero

“…The early detection and classification of dementia are important clinical support tasks for medical practitioners in customizing patient treatment programs to better manage the development and progression of these diseases. …”
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Methods for Detection and Mapping of Methylated and Hydroxymethylated Cytosine in DNA by Olga Kisil, Alexander Sergeev, Anna Bacheva, Maria Zvereva

“…The growing importance of 5hmC has prompted the development of a multitude of methods for the qualitative and quantitative analysis of 5hmC in recent years, thereby facilitating researchers’ understanding of the mechanisms underlying the onset and progression of numerous diseases. This review covers both established and novel methods for the detection of cytosine modifications, including 5mC, 5hmC, 5-formylcytosine (5fC) and 5-carboxylcytosine (5caC), with a particular focus on those that allow for accurate mapping and detection, particularly with third-generation sequencing. …”
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A survey of 3D object detection algorithms by Zhe HUANG, Yongcai WANG, Deying LI

“…3D object detection is a fundamental problem in autonomous driving，virtual reality，robotics，and other applications.Its goal is to extract the most accurate 3D box characterizing interested targets from the disordered point clouds，such as the closest 3D box surrounding the pedestrians or vehicles.The target 3D box's location，size，and orientation are also output.Currently，there are two primary approaches for 3D object detection: (1) pure point cloud based 3D object detection，in which the point clouds are created by binocular vision，RGB-D camera，and lidar; (2) fusion-based 3D object detection based on the fusion of image and point cloud.The various representations of 3D point clouds were introduced.Then representative methods were introduced from three aspects: traditional machine learning techniques; non-fusion deep learning based algorithms; and multimodal fusion-based deep learning algorithms in progressive relation.The algorithms within and across each category were examined and compared，and the differences and connections between the various methods were analyzed thoroughly.Finally，remaining challenges of 3D object detection were discussed and explored.And the primary datasets and metrics used in 3D object detection studies were summarized.…”
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GaLAM: Two-Stage Outlier Detection Algorithm by Xiaojun Lu, Zhe Yan, Ziyun Fan

“…In the second stage, Progressive Sample Consensus (PROSAC) is used to sample seed points that align with the fundamental matrix, followed by filtering outliers based on projection deviation. …”
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Prediabetes detection in unconstrained conditions using wearable sensors by Dimitra Tatli, Vasileios Papapanagiotou, Aris Liakos, Apostolos Tsapas, Anastasios Delopoulos

“…Summary: Prediabetes is a common health condition that often goes undetected until it progresses to type 2 diabetes. Early identification of prediabetes is essential for timely intervention and prevention of complications. …”
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In silico detection of sequence variations modifying transcriptional regulation. by Malin C Andersen, Pär G Engström, Stuart Lithwick, David Arenillas, Per Eriksson, Boris Lenhard, Wyeth W Wasserman, Jacob Odeberg

“…Identification of functional genetic variation associated with increased susceptibility to complex diseases can elucidate genes and underlying biochemical mechanisms linked to disease onset and progression. For genes linked to genetic diseases, most identified causal mutations alter an encoded protein sequence. …”
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The application of deep learning in early enamel demineralization detection by Ketai He, Rongxiu Zhang, Muchun Liang, Keyue Tian, Kaihui Luo, Ruoshi Chen, Jianpeng Ren, Jiajun Wang, Juan Li

“…The model accurately segmented tooth surfaces and detected demineralized areas, allowing for precise detection of demineralized areas and monitoring of lesion progression. …”
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Artificial Intelligence for Fault Detection of Automotive Electric Motors by Federico Soresini, Dario Barri, Ivan Cazzaniga, Federico Maria Ballo, Gianpiero Mastinu, Massimiliano Gobbi

“…The algorithm effectively detects potential motor failures in real-world scenarios, including bearing faults, mechanical misalignments, and progressive wear of components, thereby proactively preventing damage and halving test bench downtime.…”
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Image Processing for Laser Impact Detection in Shooting Simulators by José Antonio García Torres, Daniel Guzmán Pérez, Jhon Fredy Rincón Morantes, Daniel Felipe Molina Martínez, Cristian Camilo García Rodríguez, Jhonnatan Eduardo Zamudio Palacios

“…Simulation systems play a crucial role in firearms training by offering advantages such as the progressive improvement of shooting skills, reduced logistical costs, ammunition savings, and decreased need for personnel deployment to shooting ranges. …”
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Early detection of osteoporosis in a general practitioner's office by Kostić Milena Lj, Radosavljević Olga D., Vučković Maja S.

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